DISSIMILARITY REPRESENTATION FOR PATTERN RECOGNITION, THE: FOUNDATIONS AND APPLICATIONS (Machine Perception & Artificial Intell)
Language: English
Published by World Scientific Publishing Company, 2005
- Hardcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
AbeBooks seller since March 25, 2015
Condition: New
US$ 322.99
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In English.
Seller Inventory # ria9789812565303_new
- Title
- DISSIMILARITY REPRESENTATION FOR PATTERN RECOGNITION, THE: FOUNDATIONS AND APPLICATIONS (Machine Perception & Artificial Intell)
- Author
- Pekalska Elzbieta
- Publisher
- World Scientific Publishing Company
- Publication year
- 2005
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 9812565302
- ISBN 13
- 9789812565303
- Item weight
- 1,164 grams
This book provides a fundamentally new approach to pattern recognition in which objects are characterized by relations to other objects instead of by using features or models. This 'dissimilarity representation' bridges the gap between the traditionally opposing approaches of statistical and structural pattern recognition.
Physical phenomena, objects and events in the world are related in various and often complex ways. Such relations are usually modeled in the form of graphs or diagrams. While this is useful for communication between experts, such representation is difficult to combine and integrate by machine learning procedures. However, if the relations are captured by sets of dissimilarities, general data analysis procedures may be applied for analysis.
With their detailed description of an unprecedented approach absent from traditional textbooks, the authors have crafted an essential book for every researcher and systems designer studying or developing pattern recognition systems.
"Synopsis" may belong to another edition of this title.
Ria Christie Collections
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AbeBooks seller since March 25, 2015
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